60f3b59013 | ||
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.. | ||
templates | ||
README.md | ||
demo-approval.yml | ||
linters.yml | ||
management-groups.yml | ||
platform-connectivity-hub-azfw-policy.yml | ||
platform-connectivity-hub-azfw.yml | ||
platform-connectivity-hub-nva.yml | ||
platform-logging.yml | ||
policy.yml | ||
pull-request-check.yml | ||
roles.yml | ||
subscriptions.yml |
README.md
Azure Pipelines
Disclaimer
Copyright (c) Microsoft Corporation.
Licensed under the MIT license.
THIS CODE AND INFORMATION ARE PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE.
Pipeline definitions
The following top-level pipelines are present in the .pipelines/
repository folder:
# | Pipeline | File | CI Name |
---|---|---|---|
1 | Management Groups | management-groups.yml |
management-groups-ci |
2 | Platform Logging | platform-logging.yml |
platform-logging-ci |
3 | Policy | policy.yml |
policy-ci |
4 | Roles | roles.yml |
roles-ci |
5 | Networking | platform-connectivity-hub-nva.yml |
platform-connectivity-hub-nva-ci |
6 | Subscription | subscription.yml |
subscription-ci |
These pipelines need to be run in the order specified. For example, the Policy
pipeline is dependent on resources deployed by the Platform Logging
pipeline. Think of it as a layered approach; once the layer is deployed, it only requires re-running if some configuration at that layer changes.
In the default implementation, the Management Groups
, Platform Logging
, Policy
, and Roles
pipelines are run automatically (trigger) whenever a related code change is detected on the main
branch. The Networking
and Subscription
pipelines do not run automatically (no trigger). This behavior can be changed by modifying the corresponding YAML pipeline definition files.
In the default implementation, the Roles
and Platform Logging
pipelines are run automatically after a successful run of the Management Groups
pipeline, and the Policy
pipeline is run automatically after a successful run of the Platform Logging
pipeline. Again, this behavior can be changed by modifying the corresponding YAML pipeline definition files.
The top-level pipeline definitions are implemented in a modular way, using nested YAML templates defined in the .pipelines/templates/jobs/
and .pipelines/templates/steps/
paths.
Pipeline configuration
The top-level pipelines use configuration values from these locations:
- environment related configuration values are stored in the
config/variables/
path. - subscription related configuration values are stored in the
config/subscriptions/
path.
Additional information on configuration files is available here:
Additional pipelines
In addition to the top-level pipelines mentioned previously, there are several other pipeline definitions in the ./pipelines
path that may be useful.
Check Bicep files
The checks-bicep-compile.yml
pipeline can be used to configure a Build Validation
branch policy in your repository and validate any Bicep code changes by compiling all Bicep files with built-in linting.
Manual approval
The demo-approval.yml
pipeline demonstrates how to implement a manual approval gate/check in your pipeline definition.
Linting source files
The linters.yml
pipeline demonstrates using the GitHub SuperLinter project to run a linting process on many common source code file types.